Cover of JAX for PyTorch and NumPy Developers.: A Practical Guide to Functional Machine Learning, Automatic Differentiation, and High-Performance Python by Godwin, Robert J, ISBN 9798194120796
Data Science

JAX for PyTorch and NumPy Developers.: A Practical Guide to Functional Machine Learning, Automatic Differentiation, and High-Performance Python

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Paperback ยท ISBN 9798194120796

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Key Specifications

ISBN 9798194120796
Publisher Independently published
Publication date August 2026
Language English
MRP ยฃ29.88 GBP
Page count 248
Item weight 97 g

JAX for PyTorch and NumPy Developers.: A Practical Guide to Functional Machine Learning, Automatic Differentiation, and High-Performance Python published by Independently published.